# AI interview scoring

AI interview scoring is how artificial intelligence rates a candidate's performance in an interview, usually producing a structured score across multiple dimensions rather than a single pass or fail.

The scoring is typically paired with written reasoning explaining why a given rating was assigned, not just the number alone.

**AI interview scoring** — AI interview scoring is the process by which artificial intelligence evaluates a candidate's interview responses and produces a structured rating. Rather than a single overall grade, most systems score across several separate dimensions, such as communication, technical ability, and how well an answer was structured, since a candidate can be strong in one area and weak in another and a blended number would hide that. Scoring is usually generated from the transcript or recording of the interview, weighing what the candidate said, how they said it, and whether responses to specific questions demonstrated the skill being tested. Better systems also produce written reasoning behind each score rather than a bare number, and apply guardrails against score inflation so a rating reflects a real distribution of performance instead of clustering everyone near the top.

Interview scoring exists because interview evaluation, done manually, is inconsistent even among trained human interviewers, who can rate the same answer differently depending on mood, fatigue, or unconscious bias. Automated scoring aims for the same standard applied to every candidate, though it's only as good as the criteria and calibration built into it, which is why the presence of written reasoning and guardrails against inflated scores matters more than the score itself.

Intervieux scores every AI interview across five dimensions, Overall, Communication, Technical, Behavioral, and Cultural Fit, each on a 0-10 scale with written reasoning behind the number. Per-dimension calibration floors and caps guard against scores clustering too high, and a penalty system flags specific issues, like an abrupt ending to the interview or an answer missing STAR structure, that a raw score alone wouldn't capture.

## Frequently asked questions

### Is AI interview scoring the same as a pass-fail result?

No. Most AI interview scoring produces a rating across multiple dimensions with a numeric score and written reasoning, giving far more detail than a simple pass or fail outcome.

### Can AI interview scoring be biased?

It can be, depending on how it's built and what data it was calibrated against. Well-designed systems include guardrails and calibration checks specifically to reduce the chance that scores skew unfairly toward or against particular groups or answer styles.

### Does a human ever review an AI interview score?

Often, yes. Many employers use the AI score alongside the interview transcript or recording as part of a human's review, rather than acting on the score in complete isolation.

## Related pages

- [AI screening](/glossary/ai-screening)
- [Hiring signal](/glossary/hiring-signal)
- [Browse open roles](/jobs)

## See scoring built on real conversation, not a checklist

Intervieux scores every AI interview across five dimensions with written reasoning behind each one, the same evaluation employers use to screen real candidates.

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